Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …

This paper proposes the concept of artificial intelligence co-piloted auditing, emphasizing
the collaborative potential of auditors and foundation models in the auditing domain. The …

Developers deal with code-change-related tasks daily, eg, reviewing code. Pre-trained code
and code-change-oriented models have been adapted to help developers with such tasks …

Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …

Evaluating the alignment of large language models (LLMs) with user-defined coding
preferences is a challenging endeavour that requires a deep assessment of LLMs' outputs …

The increasing development of large language models (LLMs) in code generation has
drawn significant attention among researchers. To enhance LLM-based code generation …

Automated Program Repair (APR) has evolved significantly with the advent of Large
Language Models (LLMs). Fine-tuning LLMs for program repair is a recent avenue of …

Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …

While large language models (LLMs) like ChatGPT have shown impressive capabilities in
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …